The results show that an increasing runoff coefficient due to urban growth increases the outfall discharge and velocity of storm water drainage systems, as well as affecting the cost of construction and decreasing the lag time. Then, the validation of the models is carried out to determine the effect of the runoff coefficient on the design of a storm water drainage system in a case study in KSA.
A comparison between the measured discharge and estimated discharge shows that the empirical equation is capable of predicting the maximum discharge for different catchments with high accuracy. To validate the developed equation, we use it to estimate the discharge in a real case study in South Korea. The discharge is a function of the return period, runoff coefficient, drainage density, longest path, rainfall intensity and catchment area. The data developed from the models for the current case studies are used to develop an empirical equation to predict the max discharge for other catchments. This study examines three zones in Dammam in the Kingdom of Saudi Arabia (KSA). The hydrological models Hyfran, StormCAD and GIS are used to analyze different runoff coefficients. This study aims to assess the effect of changing the runoff coefficient due to urban growth on the design of a storm water drainage system. Changing the runoff coefficient will affect the design parameters of the drainage network, including outfall discharge, velocity, lag time and cost of construction. This affects the runoff coefficients, which is among the most important factors that affect the design of storm water drainage systems. Urban growth is one of the major causes of flooding in urban areas.
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